IS WORK OVER?

Automation index

How much of a Palliative care doctor’s job can AI already do?

A pain scale comes earlier. Being in the room when curative treatment stops do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Palliative care doctor

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Pain, the scale and the rescue dose.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The room, the family and the one who will not hear.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Symptom, the route and not over-sedating.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The team, the home discharge and the weekend.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The oncologist, the limit and not walking away.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Be there, and not leaving the end alone.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • pain scales
  • opioid rescue
  • palliative sedation
  • home discharge
  • refractory symptoms
  • grieving family
  • subcutaneous route
  • end of life

Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212

QA automation engineer

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Test, the selector and the flake.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Pipeline, the green and the one that lies.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Bug, the repro and not closing it blind.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Data, the environment and not sharing prod.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The developer, the rush and not skipping the one that fails.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Catch the bug, and not painting a lying green.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • automated tests
  • selectors
  • flakes
  • QA pipelines
  • repro
  • environments
  • lying green
  • debug tests

Sources for this job· O*NET 15-1253.00· ESCO/ISCO 2519

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